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software-mansion/react-native-executorch-hammer-2.1

sourceHugging Facecc-by-nc-4.0updated 14d agoView on Hugging Face
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hammer-2.1

This repository hosts the hammer-2.1 models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Variants

PathBackendPrecision
0_5b/mlx/hammer_2_1_0_5b_mlx_int4.ptemlx4w
0_5b/xnnpack/hammer_2_1_0_5b_xnnpack_bf16.ptexnnpackbf16
0_5b/xnnpack/hammer_2_1_0_5b_xnnpack_8da4w.ptexnnpack8da4w
1_5b/mlx/hammer_2_1_1_5b_mlx_int4.ptemlx4w
1_5b/xnnpack/hammer_2_1_1_5b_xnnpack_bf16.ptexnnpackbf16
1_5b/xnnpack/hammer_2_1_1_5b_xnnpack_8da4w.ptexnnpack8da4w
3b/mlx/hammer_2_1_3b_mlx_int4.ptemlx4w
3b/xnnpack/hammer_2_1_3b_xnnpack_bf16.ptexnnpackbf16
3b/xnnpack/hammer_2_1_3b_xnnpack_8da4w.ptexnnpack8da4w

Repository structure

0_5b/mlx/config.json                            1.3 kB
0_5b/mlx/hammer_2_1_0_5b_mlx_int4.pte           510 MB
0_5b/xnnpack/config.json                        2.3 kB
0_5b/xnnpack/hammer_2_1_0_5b_xnnpack_8da4w.pte  398 MB
0_5b/xnnpack/hammer_2_1_0_5b_xnnpack_bf16.pte   943 MB
1_5b/mlx/config.json                            1.3 kB
1_5b/mlx/hammer_2_1_1_5b_mlx_int4.pte           1.2 GB
1_5b/xnnpack/config.json                        2.3 kB
1_5b/xnnpack/hammer_2_1_1_5b_xnnpack_8da4w.pte  1.1 GB
1_5b/xnnpack/hammer_2_1_1_5b_xnnpack_bf16.pte   2.9 GB
3b/mlx/config.json                              1.3 kB
3b/mlx/hammer_2_1_3b_mlx_int4.pte               2.1 GB
3b/xnnpack/config.json                          2.3 kB
3b/xnnpack/hammer_2_1_3b_xnnpack_8da4w.pte      1.9 GB
3b/xnnpack/hammer_2_1_3b_xnnpack_bf16.pte       5.7 GB
config.json                                     32 B
tokenizer.json                                  10.9 MB
tokenizer_config.json                           7.0 kB

Compatibility

These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

To load these files in your own ExecuTorch runtime, read the compatibility note first.